Correlation Between GM and BMO Aggregate

Can any of the company-specific risk be diversified away by investing in both GM and BMO Aggregate at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining GM and BMO Aggregate into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between General Motors and BMO Aggregate Bond, you can compare the effects of market volatilities on GM and BMO Aggregate and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in GM with a short position of BMO Aggregate. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and BMO Aggregate.

Diversification Opportunities for GM and BMO Aggregate

-0.85

Correlation Coefficient

GM  BMO Aggregate

Pay attention - limited upside

The 3 months correlation between GM and BMO is -0.85. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and BMO Aggregate Bond in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BMO Aggregate Bond and GM is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on General Motors are associated (or correlated) with BMO Aggregate. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BMO Aggregate Bond has no effect on the direction of GM i.e., GM and BMO Aggregate go up and down completely randomly.

Pair Corralation between GM and BMO Aggregate

Allowing for the 90-day total investment horizon General Motors is expected to generate 11.61 times more return on investment than BMO Aggregate. However, GM is 11.61 times more volatile than BMO Aggregate Bond. It trades about 0.12 of its potential returns per unit of risk. BMO Aggregate Bond is currently generating about 0.09 per unit of risk. If you would invest  5,197  in General Motors on August 31, 2024 and sell it today you would earn a total of  353.00  from holding General Motors or generate 6.79% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Significant
Accuracy	100.0%
Values	Daily Returns

General Motors  vs.  BMO Aggregate Bond

General Motors

Risk-Adjusted Performance

7 of 100

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in General Motors are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. In spite of very weak primary indicators, GM displayed solid returns over the last few months and may actually be approaching a breakup point.

BMO Aggregate Bond

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days BMO Aggregate Bond has generated negative risk-adjusted returns adding no value to investors with long positions. Despite somewhat strong basic indicators, BMO Aggregate is not utilizing all of its potentials. The recent stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with GM and BMO Aggregate

The main advantage of trading using opposite GM and BMO Aggregate positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, BMO Aggregate can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in BMO Aggregate will offset losses from the drop in BMO Aggregate's long position.

The idea behind General Motors and BMO Aggregate Bond pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.

Check out your portfolio center.

Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.